About the Authors:
Julius Valentin Kunz
Roles Data curation, Investigation, Visualization, Writing – original draft
Affiliations Department of Anesthesiology and Operative Intensive Care Medicine, Charité Campus Mitte and Campus Virchow Klinikum, Charité–Universitaetsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, Department of Nephrology and Medical Intensive Care, Charité–Universitaetsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
Claudia D. Spies
Roles Data curation, Funding acquisition, Project administration, Resources, Software, Supervision, Writing – review & editing
Affiliation: Department of Anesthesiology and Operative Intensive Care Medicine, Charité Campus Mitte and Campus Virchow Klinikum, Charité–Universitaetsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
Anna Bichmann
Roles Visualization, Writing – original draft
Affiliation: Department of Anesthesiology and Operative Intensive Care Medicine, Charité Campus Mitte and Campus Virchow Klinikum, Charité–Universitaetsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
Miriam Sieg
Roles Formal analysis, Methodology, Writing – review & editing
Affiliations Institute of Biometry and Clinical Epidemiology, Charité–Universitaetsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, Berlin Institute of Health (BIH), Berlin, Germany
Anika Mueller
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Validation, Visualization, Writing – review & editing
* E-mail: [email protected]
Affiliation: Department of Anesthesiology and Operative Intensive Care Medicine, Charité Campus Mitte and Campus Virchow Klinikum, Charité–Universitaetsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
ORCID logo http://orcid.org/0000-0002-6859-7080
Introduction
According to the definition of the World Health Organization (WHO) anaemia exists when the haemoglobin (HB) level is below 12 g/dl for females and below 13 g/dl for males [1].
A meta-analysis of almost one million patients undergoing major non-cardiac (vascular, orthopaedic, spinal and upper gastrointestinal) and cardiac surgery worldwide showed a preoperative anaemia prevalence of 39.2% and an association with an increased rate of postoperative complications, as well as a higher 30-day morbidity and mortality rate [2]. The postoperative complications associated with preoperative anaemia range from stroke, infection [2], pneumonia, sepsis, venous thromboembolism, wound healing disturbance and acute myocardial infarction to cardiac arrest [3]. In regards to postoperative anaemia, a multicentre observational study stated a prevalence of 85.8% among 1534 patients undergoing major elective orthopaedic surgery, highlighting a high-risk group [4]. Further complications, including acute kidney injury (AKI), have been demonstrated for postoperative anaemic patients, presumably caused by a lack of oxygen supply due to reduced oxygen carrying capacity [5]. AKI directly correlates with a higher mortality rate and higher hospital expenses along with other causes leading to a prolonged length of stay in the hospital [6]. A reduced oxygen carrying capacity could also affect the brain, leading possibly to a delirium [7]. The Diagnostic and Statistical Manual of Mental Disorder 5 (DSM-5) criteria defines delirium as an acute and fluctuating disturbance in attention and cognition, which is not based on a pre-existing neurocognitive disorder[8]. A delirium often occurs postoperatively with an incidence of up to 74% [7].
Postoperative delirium (POD) is associated with prolonged hospitalisation [9], impairments of daily life [10] and onset of posttraumatic stress disorder [11]. Other implications are long-term cognitive decline [12] and dementia [13] which can develop after a POD. Furthermore, POD itself is an independent risk factor for postoperative mortality [14, 15]. Postulates are that the aetiology of POD is multifactorial with”a complex interrelationship between predisposing and precipitating factors”[16].
Considering that preventing POD is by far more effective than its treatment [17], it is particularly important to identify predisposing- and precipitating factors in order to avoid it. To achieve this, recommendations on POD risk factors need to be published. One of the considered risk factors for POD is intraoperative bleeding as stated by the European Society of Anaesthesiology in a recently published evidence- and consensus-based guideline of POD. However, no HB threshold has been mentioned [18].
The aim of this secondary analysis is to investigate the association of postoperative anaemia in accordance with the sex specific WHO thresholds for POD and duration of hospital stay.
Methods
Study design and setting
Data collection has been performed in the multicentre observational study CESARO which has recently been published [19]. The study was initiated by the Department of Anaesthesiology and Operative intensive Care Medicine at the Charité–Universitätsmedizin Berlin. Participant centres consisted of the university hospitals of Berlin, Bochum, Heidelberg, Munich, Regensburg, Ulm and Würzburg. The district general hospital of Wetzlar and the specialist clinic of minimally invasive surgery Berlin took part in the study as well. All centres are located in Germany (see Clinicaltrials.gov ID: NCT01964274).
The observational study was approved by the independent Charité Ethics Committee, Charité–Universitätsmedizin Berlin, Germany and was registered under ref.: EA1/220/13 on 14th August 2013. All patients had a pre-operation discussion, gave their written consent and local data privacy regulations were complied with.
Primary endpoint in the original observational study, both acetyl- and butyrylcholinesterase activity (AChE and BuChE), were investigated in the patient’s blood samples, with and without POD in the early period after surgery [19]. The data were collected between October 2013 and August 2016 by the anaesthesiology departments of the participant centres. Perioperative HB measurement was a secondary endpoint.
Participants
A logistic regression analysis was conducted for the sample group of the original study which required 797 patients. The group consisted of patients 18 years of age or older, undergoing any elective surgery in a broad range of operative disciplines with admission in a post-anaesthesia care unit (PACU) and an inpatient care for at least twenty-four hours. Criteria for exclusion from the sample group were AChE or BuChE deficiencies, illiterate patient, inability to speak English or German, impairment of vision or hearing and current participation in other clinical trials.
Data assessment
The data collected included sex, age, medical history, smoking status, body mass index (BMI), heart failure according to the NYHA classification system and medication with anticholinergic drugs.
The surgery and anaesthetically related characteristics assessed in the original study are: preoperative physical status (ASA Classification System), duration of anaesthesia, severity and type of surgery, the amount of infusion and blood product transfusion during surgery. The severity of surgery was categorized in accordance with the POSSUM-Score (Physiological and Operative Severity Score for the enumeration of Mortality and morbidity) [20].
The HB level before and after surgery as well as the length of admission were obtained from medical records. The project group also recorded the patient´s Glasgow Coma Scale (GCS)[21], the sedation status with the Richmond Agitation Scale (RASS)[22], incidences of postoperative nausea and vomiting (PONV) and vital parameters while admission, ten minutes after and at discharge in/off post-anaesthesia care unit (PACU). Hypotension was defined as middle arterial pressure (MAP) below 60 mmHg.
All data were recorded by means of an online-based case report form.
Diagnosis of delirium
Delirium was assessed by using the Nursing Delirium Screening Scale (NU-DESC). Members of a research team supervised by delirium specialists, consisting of physicians, medical students and study nurses, conducted the assessment.
NU-DESC is a five-item scale containing orientation, behaviour, communication, illusion and psychomotor retardation. Every component is rated on a scale from zero to two points. A cumulated score of two or more points is considered as POD positive [23].
The DSM-5 criteria are considered to be the gold standard for delirium diagnosis, however, it is protracted, requires extensive training and is often not practicable in a busy recovery room.
Because of the multicentric design of the original study with its high sample size, multiple delirium screening per patient and large team of assistance in data collection the NU-DESC method was used instead. NU-DESC was evaluated in the PACU showing a sensitivity of 95% and specificity of 87% with an average completion time of one minute.[24]
In postoperative inpatient treatment, with multiple screenings per day, NU-DESC had a sensitivity of 98% and specificity of 92%.[25]
Delirium was screened by the research team on admission in the PACU, on discharge from the PACU and on postoperative day one and three.
Statistical analysis
All patients with recorded pre- and post-operative HB level were eligible for statistical analyses.
Patients who suffered from preoperative anaemia were excluded.
By using either a Chi-Square-Test, Mann-Whitney-U Test (when data is not normal distributed) or T-Test (normal distribution), the groups of patients with and without postoperative anaemia were analysed. A p-value of less than or equal to 0.05 was regarded as statistically significant. Due to the exploratory character of the analysis, no adjustment for multiple testing has been performed.
Results were depicted as mean ± standard deviation (SD) and frequencies with percentages (%). Ordinal variables were expressed as median with interquartile range [IQR].
Multiple logistic regression was carried out with statistically significant differences, to examine the associations of postoperative anaemia. Variables were selected if univariate tests showed statistical significance.
SPSS Version 21 was used for all statistical analysis and all indicated p-values were two-sided.
Results
815 patients were considered as eligible for the study. However, 632 patients were excluded due to incomplete HB measurement (481) and preoperative anaemia (136) as well as 15 participants who left the study. Out of the remaining 183 participants 90 suffered from postoperative anaemia (according to WHO definition).
The final data set included 183 patients (Fig 1). The baseline characteristics of all included patients are illustrated in Table 1.
[Figure omitted. See PDF.]
Fig 1. Flowchart.
https://doi.org/10.1371/journal.pone.0229325.g001
[Figure omitted. See PDF.]
Table 1. Characteristics of all included patients.
https://doi.org/10.1371/journal.pone.0229325.t001
Table 1 demonstrates that patients with postoperative anaemia have a higher NYHA Score, a significant longer anaesthesia and cutting/suture time, a more severe procedure (POSSUM Score), a lower grade of vigilance (GCS) and a deeper sedation status (RASS) on admission in PACU. Furthermore, patients with postoperative anaemia had a transfusion of packed red cells (PRC) more often.
Additionally, POD occurred at a higher rate of 38.4% for inpatients who suffered from postoperative anaemia in comparison to 10.9% for inpatients without postoperative anaemia as well as a prolonged length of hospitalisation of 12.42 days compared to 7.75 days.
Ninety events of postoperative anaemia were recorded and nine categories were statistically significant. To keep the risk of overfitting low, we were able to include nine independent variables in the multiple logistic regression according to ten events per variable rule [26]. Postoperative GCS was excluded due to numerous missing values.
In the multiple logistic regression, the groups did not differ statistically significant in NYHA Score, surgical risk, transfusion of PRC, duration of anaesthesia, cutting/suture time and RASS on admission in PACU. Whereas the higher incidence of postoperative delirium (p = 0.012) and the duration of hospitalisation (p = <0.001) were statistically significant (Table 2). The chance to develop a POD is 3.949 (95% CI, (1.358–11.480), after adjustments (AAs)) times higher for inpatients with postoperative anaemia.
[Figure omitted. See PDF.]
Table 2. Results from multiple logistic regression, associations of postoperative anaemia.
https://doi.org/10.1371/journal.pone.0229325.t002
The duration of hospitalisation was 7.75 days for inpatients without anaemia vs. 12.42 days for anaemic inpatients (OR = 1.186, 95% CI, 1.083–1.299, AAs).
Discussion
The secondary analysis revealed that 90 of 183 patients suffered from postoperative anaemia. Patients who suffer from postoperative anaemia have an increased likelihood to sustain POD by almost four times AAs for their stadium of heart failure, severity of surgery, postoperative blood pressure, transfusion of PRC, duration of anaesthesia, heart rate before anaesthesia and RASS on admission in PACU. Despite the supervision by delirium specialists during data assessment, POD, if occurred, was not confirmed according to DSM-5 criteria. Hence, it is to be considered that this might have led to false positive testing in some cases. NU-DESC false positive POD testing was at 12,8% DESC and DSM criteria was recommended for confirmation [24].
The connecting link between postoperative anaemia and onset of POD could be an inadequate cerebral oxidative metabolism which can cause, among others, imbalance of neurotransmitter, collapse of the brain barrier and neuroinflammation which are under discussion to be a trigger for delirium [7]. In a study of 101 intensive care unit patients where oxygenation was measured by HB, haematocrit and pulse oximetry came to the conclusion that the occurrence of delirium during intensive care admission was associated with poorer oxygenation before onset [27].
Regarding the above, no surrogate parameter was used in the study cohort to clarify if anaemia caused a decreased cerebral oxygenation.
Due to the heterogenous definition of anaemia it proofs to be challenging to compare earlier studies with the current one, which investigated postoperative anaemia and POD. An association between postoperative anaemia with a HB level equal to and below 9.7 g/dl [28] or postoperative haematocrit ≤ 30% [29], [30, 31] and POD has already been established. According to another study there is no significant association between POD and variable severity of anaemia comparing 8–10 g/dl and above 10 g/dl [32].
To address the heterogeneity of definition of anaemia in prior studies, the worldwide validated sex specific WHO definition of anaemia was used and successfully demonstrated its association with POD.
POD triggered by anaemia might have more extensive clinical consequences than POD of other origin, however, this extends beyond the scope of this research but should be investigated in further studies.
A recent study examined clinical phenotypes of delirium during critical illness of 1040 patients and their severity of subsequent long-term cognitive impairment in a prospective cohort design. The study distinguished between sedative-associated, hypoxic, septic, metabolic and unclassified delirium. One of the findings was that the duration of hypoxic, septic and sedative-associated delirium is associated with long-term cognitive impairment. Whereas the duration of a metabolic delirium is not. Hypoxic delirium was defined as hypoxemia or shock [33]. However, it is questionable if an anaemia related delirium has the same long-term impacts.
Another key finding of the analysis is the significantly prolonged hospital stay of patients diagnosed with postoperative anaemia (7.75 compared to 12.42 days) AAs. A prospective observation of 550 patients who underwent surgery due to a hip fracture supports this finding. Whereas a higher postoperative HB level shortens the length of hospital admission [34].
In the analysis it turned out that one of the avoidable causes for postoperative anaemia is iron deficiency. According to a prospective study on patients undergoing hip surgery [35], iron deficiency without anaemia leads to a more frequent preoperative transfusion of blood cells [36], a lowered intravenous iron supplementation transfusion rate, 30-day mortality rate and shortened duration of hospitalisation. Additionally, the majority of surgical patients who had iron deficiency without anaemia became anaemic after surgery [4]. This poses the question whether a potentially easy treatable iron deficiency is co-responsible for postoperative anaemia among the study cohort. Unfortunately, no data were collected on iron status for further evaluation.
Blood transfusion, regarded as the quickest and most effective treatment of acute anaemia, is discussed highly controversial in terms of POD. There are indications for both, increasing [32, 37] and decreasing [28, 38] POD incidences.
According to this analysis, perioperative transfusion of erythrocyte concentrates AAs, displayed in Table 2, had no statistically significant influence on postoperative anaemia.
Also, considering the risks of blood transfusion (e.g. higher rate of mortality and morbidity[39], neuroinflammation and cognitive impairment [40]), the utilization of effective remedies like iron infusions [35, 41], tranexamic acid[42], bipolar sealer [43] and cell-saver [44] to avoid allogenic blood transfusion should be fully exhausted [45]. For example, a perioperative iron therapy showed a lower 30-day mortality rate and a reduction in blood transfusions [46]. The perioperative use of tranexamic acid preserved a higher postoperative HB level reducing the length of hospitalisation [47].
Postoperative anaemia is likely to have even more extensive consequence. A study of 152,757 inpatient treatments highlighted that patients who were discharged with a mild anaemia (HB level of 11-12g/dl) showed a higher risk of re-admission within 30 days after discharge [48]. It would have been of great interest to extend the data set of this study to investigate the HB level at discharge and related re-admission rates.
Limitations of this secondary analysis
Perioperative HB measurement was a secondary endpoint in the study, leading to a high rate of missing values in the dataset and the applied methods do not necessarily establish causality.
Delirium was assessed using NU-DESC, which is not considered as the gold standard, however proved to be effective for data collection due to its lower application level. Even though, it showed a very sensitive score in the PACU with a high specificity and a 12,8% false positive delirium rate. For this purpose, confirmation with DSM-5 criteria was recommended but not performed in the course of this study[24].
Blood transfusion itself can trigger neuroinflammation and predispose patients to develop POD [40]. Hence, statistical analysis could potentially be skewed.
In the evidence- and consensus-based guidelines of POD, published in 2017, screening for POD was recommended until the fifth postoperative day [18]. Due to the fact that data have been collected between October 2013 and August 2016, POD was screened just until the third postoperative day.
Conclusion
Postoperative anaemia occurs frequently for surgical patients. According to the findings of this analysis, patients with postoperative anaemia potentially have a significantly higher risk of POD and a prolonged hospital stay. However, whether the prevention of postoperative anaemia would lead to a lower incidence of POD and shorten hospitalisation remains unclear and could be subject to further studies. Additional trials are needed to standardize an approach for the detection, prevention and treatment of anaemia as a possible risk factor for POD and prolonged hospital stay.
Supporting information
[Figure omitted. See PDF.]
S1 File. Overview of the Study Protocol in German.
https://doi.org/10.1371/journal.pone.0229325.s001
(PDF)
S2 File. Overview of the Study Protocol in English.
https://doi.org/10.1371/journal.pone.0229325.s002
(PDF)
Acknowledgments
CESARO study group: Anika Müller, Anja Heymann, Peter K. Zahn, Konstanze Plaschke, Vera von Dossow, Diane Bitzinger, Eberhard Barth, Markus Meister, Peter Kranke, Claudia D. Spies. Assistance with the study: the authors thank Nicole Altenbeck, Michael Gruber, Anja Hesse-Imdahl, Dominik Höchter, Daniel Keller, Carola Loew, Bernhard Michels, Katrin Reinhold, Elias Schaupp, Christoph Schramm, Sara Schulz, Birgit Sprinz, York Zausig and Niklas Zinn for their assistance in data collection, a warm thanks to Jochen Kruppa for statistical support and Michael Dollak for language considerations.
Citation: Kunz JV, Spies CD, Bichmann A, Sieg M, Mueller A (2020) Postoperative anaemia might be a risk factor for postoperative delirium and prolonged hospital stay: A secondary analysis of a prospective cohort study. PLoS ONE 15(2): e0229325. https://doi.org/10.1371/journal.pone.0229325
1. Organization WH. Nutritional anaemias: report of a WHO scientific group. Geneva. World Health Organization: technical report series; no. 405.: 1968.
2. Fowler AJ, Ahmad T, Phull MK, Allard S, Gillies MA, Pearse RM. Meta-analysis of the association between preoperative anaemia and mortality after surgery. Br J Surg. 2015;102(11):1314–24. Epub 2015/09/10. pmid:26349842.
3. Musallam KM, Tamim HM, Richards T, Spahn DR, Rosendaal FR, Habbal A, et al. Preoperative anaemia and postoperative outcomes in non-cardiac surgery: a retrospective cohort study. Lancet. 2011;378(9800):1396–407. Epub 2011/10/11. pmid:21982521.
4. Lasocki S, Krauspe R, von Heymann C, Mezzacasa A, Chainey S, Spahn DR. PREPARE: the prevalence of perioperative anaemia and need for patient blood management in elective orthopaedic surgery: a multicentre, observational study. Eur J Anaesthesiol. 2015;32(3):160–7. Epub 2015/01/08. pmid:25564780.
5. Choi YJ, Kim SO, Sim JH, Hahm KD. Postoperative Anemia Is Associated with Acute Kidney Injury in Patients Undergoing Total Hip Replacement Arthroplasty: A Retrospective Study. Anesth Analg. 2016;122(6):1923–8. Epub 2015/10/10. pmid:26451518.
6. Hobson C, Ozrazgat-Baslanti T, Kuxhausen A, Thottakkara P, Efron PA, Moore FA, et al. Cost and Mortality Associated With Postoperative Acute Kidney Injury. Ann Surg. 2015;261(6):1207–14. Epub 2014/06/03. pmid:24887982; PubMed Central PMCID: PMC4247993.
7. Maldonado JR. Neuropathogenesis of delirium: review of current etiologic theories and common pathways. Am J Geriatr Psychiatry. 2013;21(12):1190–222. Epub 2013/11/12. pmid:24206937.
8. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Washington, DC: American Psychiatric Association; 2013.
9. Aitken SJ, Blyth FM, Naganathan V. Incidence, prognostic factors and impact of postoperative delirium after major vascular surgery: A meta-analysis and systematic review. Vasc Med. 2017;22(5):387–97. Epub 2017/08/09. pmid:28784053.
10. Edelstein DM, Aharonoff GB, Karp A, Capla EL, Zuckerman JD, Koval KJ. Effect of postoperative delirium on outcome after hip fracture. Clin Orthop Relat Res. 2004;(422):195–200. Epub 2004/06/10. pmid:15187857.
11. Drews T, Franck M, Radtke FM, Weiss B, Krampe H, Brockhaus WR, et al. Postoperative delirium is an independent risk factor for posttraumatic stress disorder in the elderly patient: a prospective observational study. Eur J Anaesthesiol. 2015;32(3):147–51. Epub 2014/07/01. pmid:24979586.
12. Inouye SK, Marcantonio ER, Kosar CM, Tommet D, Schmitt EM, Travison TG, et al. The short-term and long-term relationship between delirium and cognitive trajectory in older surgical patients. Alzheimers Dement. 2016;12(7):766–75. Epub 2016/04/23. pmid:27103261; PubMed Central PMCID: PMC4947419.
13. Lingehall HC, Smulter NS, Lindahl E, Lindkvist M, Engstrom KG, Gustafson YG, et al. Preoperative Cognitive Performance and Postoperative Delirium Are Independently Associated With Future Dementia in Older People Who Have Undergone Cardiac Surgery: A Longitudinal Cohort Study. Crit Care Med. 2017;45(8):1295–303. Epub 2017/05/10. pmid:28481752; PubMed Central PMCID: PMC5515637.
14. Abelha FJ, Luis C, Veiga D, Parente D, Fernandes V, Santos P, et al. Outcome and quality of life in patients with postoperative delirium during an ICU stay following major surgery. Crit Care. 2013;17(5):R257. Epub 2013/10/31. pmid:24168808; PubMed Central PMCID: PMC4057091.
15. Moskowitz EE, Overbey DM, Jones TS, Jones EL, Arcomano TR, Moore JT, et al. Post-operative delirium is associated with increased 5-year mortality. Am J Surg. 2017;214(6):1036–8. Epub 2017/09/28. pmid:28947274.
16. Inouye SK, Charpentier PA. Precipitating factors for delirium in hospitalized elderly persons. Predictive model and interrelationship with baseline vulnerability. JAMA: the journal of the American Medical Association. 1996;275(11):852–7. Epub 1996/03/20. pmid:8596223.
17. Chaput AJ, Bryson GL. Postoperative delirium: risk factors and management: continuing professional development. Can J Anaesth. 2012;59(3):304–20. Epub 2012/02/09. pmid:22311257.
18. Aldecoa C, Bettelli G, Bilotta F, Sanders RD, Audisio R, Borozdina A, et al. European Society of Anaesthesiology evidence-based and consensus-based guideline on postoperative delirium. Eur J Anaesthesiol. 2017;34(4):192–214. Epub 2017/02/12. pmid:28187050.
19. Muller A, Olbert M, Heymann A, Zahn PK, Plaschke K, von Dossow V, et al. Relevance of peripheral cholinesterase activity on postoperative delirium in adult surgical patients (CESARO): A prospective observational cohort study. Eur J Anaesthesiol. 2019;36(2):114–22. Epub 2018/11/16. pmid:30431498.
20. Neary WD, Heather BP, Earnshaw JJ. The Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (POSSUM). Br J Surg. 2003;90(2):157–65. Epub 2003/01/30. pmid:12555290.
21. Reith FC, Van den Brande R, Synnot A, Gruen R, Maas AI. The reliability of the Glasgow Coma Scale: a systematic review. Intensive Care Med. 2016;42(1):3–15. Epub 2015/11/14. pmid:26564211.
22. Ely EW, Truman B, Shintani A, Thomason JW, Wheeler AP, Gordon S, et al. Monitoring sedation status over time in ICU patients: reliability and validity of the Richmond Agitation-Sedation Scale (RASS). JAMA: the journal of the American Medical Association. 2003;289(22):2983–91. pmid:12799407.
23. Gaudreau JD, Gagnon P, Harel F, Tremblay A, Roy MA. Fast, systematic, and continuous delirium assessment in hospitalized patients: the nursing delirium screening scale. Journal of pain and symptom management. 2005;29(4):368–75. Epub 2005/04/29. pmid:15857740.
24. Radtke FM, Franck M, Schneider M, Luetz A, Seeling M, Heinz A, et al. Comparison of three scores to screen for delirium in the recovery room. Br J Anaesth. 2008;101(3):338–43. Epub 2008/07/08. pmid:18603528.
25. Radtke FM, Franck M, Schust S, Boehme L, Pascher A, Bail HJ, et al. A comparison of three scores to screen for delirium on the surgical ward. World journal of surgery. 2010;34(3):487–94. pmid:20066416.
26. Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373–9. Epub 1996/12/01. pmid:8970487.
27. Seaman JS, Schillerstrom J, Carroll D, Brown TM. Impaired oxidative metabolism precipitates delirium: a study of 101 ICU patients. Psychosomatics. 2006;47(1):56–61. Epub 2005/12/31. pmid:16384808.
28. van der Zanden V, Beishuizen SJ, Scholtens RM, de Jonghe A, de Rooij SE, van Munster BC. The Effects of Blood Transfusion on Delirium Incidence. J Am Med Dir Assoc. 2016;17(8):748–53. Epub 2016/05/29. pmid:27233490.
29. Marcantonio ER, Goldman L, Orav EJ, Cook EF, Lee TH. The association of intraoperative factors with the development of postoperative delirium. Am J Med. 1998;105(5):380–4. Epub 1998/11/27. pmid:9831421.
30. Lee TC, Yang LC, Chen HJ. Effect of patient position and hypotensive anesthesia on inferior vena caval pressure. Spine (Phila Pa 1976). 1998;23(8):941–7; discussion 7–8. Epub 1998/05/15. pmid:9580963.
31. Kawaguchi Y, Kanamori M, Ishihara H, Abe Y, Nobukiyo M, Sigeta T, et al. Postoperative delirium in spine surgery. Spine J. 2006;6(2):164–9. Epub 2006/03/07. pmid:16517388.
32. Behrends M, DePalma G, Sands L, Leung J. Association between intraoperative blood transfusions and early postoperative delirium in older adults. J Am Geriatr Soc. 2013;61(3):365–70. Epub 2013/03/19. pmid:23496244; PubMed Central PMCID: PMC4529289.
33. Girard TD, Thompson JL, Pandharipande PP, Brummel NE, Jackson JC, Patel MB, et al. Clinical phenotypes of delirium during critical illness and severity of subsequent long-term cognitive impairment: a prospective cohort study. Lancet Respir Med. 2018;6(3):213–22. Epub 2018/03/07. pmid:29508705.
34. Halm EA, Wang JJ, Boockvar K, Penrod J, Silberzweig SB, Magaziner J, et al. The Effect of Perioperative Anemia on Clinical and Functional Outcomes in Patients With Hip Fracture. J Orthop Trauma. 2004;18(6):369–74. pmid:15213502; PubMed Central PMCID: PMC1454739.
35. Cuenca J, Garcia-Erce JA, Martinez AA, Solano VM, Molina J, Munoz M. Role of parenteral iron in the management of anaemia in the elderly patient undergoing displaced subcapital hip fracture repair: preliminary data. Arch Orthop Trauma Surg. 2005;125(5):342–7. Epub 2005/03/25. pmid:15789233.
36. Piednoir P, Allou N, Driss F, Longrois D, Philip I, Beaumont C, et al. Preoperative iron deficiency increases transfusion requirements and fatigue in cardiac surgery patients: a prospective observational study. Eur J Anaesthesiol. 2011;28(11):796–801. Epub 2011/09/03. pmid:21885979.
37. Huang J, Sprung J, Weingarten TN. Delirium following total joint replacement surgery. Bosn J Basic Med Sci. 2019;19(1):81–5. Epub 2018/07/10. pmid:29984677; PubMed Central PMCID: PMC6387679.
38. Blandfort S, Gregersen M, Borris LC, Damsgaard EM. Blood transfusion strategy and risk of postoperative delirium in nursing homes residents with hip fracture. A post hoc analysis based on the TRIFE randomized controlled trial. Aging Clin Exp Res. 2017;29(3):459–66. Epub 2016/06/03. pmid:27251666.
39. Glance LG, Dick AW, Mukamel DB, Fleming FJ, Zollo RA, Wissler R, et al. Association between intraoperative blood transfusion and mortality and morbidity in patients undergoing noncardiac surgery. Anesthesiology. 2011;114(2):283–92. Epub 2011/01/18. pmid:21239971.
40. Tan H, Bi J, Wang Y, Zhang J, Zuo Z. Transfusion of Old RBCs Induces Neuroinflammation and Cognitive Impairment. Crit Care Med. 2015;43(8):e276–86. Epub 2015/04/11. pmid:25860202; PubMed Central PMCID: PMC4506264.
41. Kim SK, Seo WY, Kim HJ, Yoo JJ. Postoperative Intravenous Ferric Carboxymaltose Reduces Transfusion Amounts after Orthopedic Hip Surgery. Clin Orthop Surg. 2018;10(1):20–5. Epub 2018/03/23. pmid:29564043; PubMed Central PMCID: PMC5851850.
42. Yagi M, Hasegawa J, Nagoshi N, Iizuka S, Kaneko S, Fukuda K, et al. Does the intraoperative tranexamic acid decrease operative blood loss during posterior spinal fusion for treatment of adolescent idiopathic scoliosis? Spine (Phila Pa 1976). 2012;37(21):E1336–42. Epub 2012/07/10. pmid:22772572.
43. Marulanda GA, Ragland PS, Seyler TM, Mont MA. Reductions in blood loss with use of a bipolar sealer for hemostasis in primary total knee arthroplasty. Surg Technol Int. 2005;14:281–6. Epub 2006/03/10. pmid:16525984.
44. Elmalky M, Yasin N, Rodrigues-Pinto R, Stephenson J, Carroll C, Smurthwaite G, et al. The safety, efficacy, and cost-effectiveness of intraoperative cell salvage in metastatic spine tumor surgery. Spine J. 2017;17(7):977–82. Epub 2017/03/23. pmid:28323241.
45. WHA63.12—Availability, Safety and Quality of Blood Products. WHA resolution; Sixty-third World Health Assembly, 2010: s; 2018. Available from: http://apps.who.int/medicinedocs/en/d/Js19998en/
46. Schack A, Berkfors AA, Ekeloef S, Gogenur I, Burcharth J. The Effect of Perioperative Iron Therapy in Acute Major Non-cardiac Surgery on Allogenic Blood Transfusion and Postoperative Haemoglobin Levels: A Systematic Review and Meta-analysis. World J Surg. 2019. Epub 2019/03/03. pmid:30824959.
47. Khan N, Troelsen A, Husted H. Prevention of post-operative anaemia in hip and knee arthroplasty—a systematic review. Dan Med J. 2015;62(12):A5170. Epub 2015/12/02. pmid:26621400.
48. Koch CG, Li L, Sun Z, Hixson ED, Tang A, Chagin K, et al. Magnitude of Anemia at Discharge Increases 30-Day Hospital Readmissions. J Patient Saf. 2017;13(4):202–6. Epub 2014/09/05. pmid:25186980.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2020 Kunz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Background
Postoperative anaemia is a frequent surgical complication and in contrast to preoperative anaemia has not been validated in relation to mortality, morbidity and its associated health economic effect. Postoperative anaemia can predispose postoperative delirium through impairment of cerebral oxygenation. The aim of this secondary analysis is to investigate the association of postoperative anaemia in accordance with the sex specific World Health Organization definition of anaemia to postoperative delirium and its impact on the duration of hospital stay.
Methods
A secondary analysis of the prospective multicentric observational CESARO-study was conducted. 800 adult patients undergoing elective surgery were enrolled from various operative disciplines across seven hospitals ranging from university hospitals, district general hospitals to specialist clinics of minimally invasive surgery in Germany. Patients were classified as anaemic according to the World Health Organization parameters, setting the haemoglobin level cut off below 12g/dl for females and below 13g/dl for males. Focus of the investigation were patients with acute anaemia. Patients with present preoperative anaemia or missing haemoglobin measurement were excluded from the sample set. Delirium screening was established postoperatively for at least 24 hours and up to three days, applying the validated Nursing Delirium Screening Scale.
Results
The initial sample set contained 800 patients of which 183 were suitable for analysis in the study. Ninety out of 183 (49.2%) suffered from postoperative anaemia. Ten out of 93 (10.9%) patients without postoperative anaemia developed a postoperative delirium. In the group with postoperative anaemia, 28 (38.4%) out of 90 patients suffered from postoperative delirium (odds ratio 3.949, 95% confidence interval, (1.358–11.480)) after adjustment for NYHA-stadium, severity of surgery, cutting/suture time, duration of anaesthesia, transfusion of packed red cells and sedation status with Richmond Agitation Scale after surgery.
Additionally, patients who suffered from postoperative anaemia showed a significantly longer duration of hospitalisation (7.75 vs. 12.42 days, odds ratio = 1.186, 95% confidence interval, 1.083–1.299, after adjustments).
Conclusion
The study results reveal that postoperative anaemia is not only a frequent postsurgical complication with an incidence probability of almost 50%, but could also be associated with a postoperative delirium and a prolonged hospitalisation.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer